{"id":"W2037429848","doi":"10.1080/1024123021000061944","title":"Survival maximization for a Laguerre population","year":2002,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Laguerre polynomials; Maximization; Mathematics; Constant (computer programming); Combinatorics; Population; Sensitivity (control systems); Value (mathematics); Diffusion; Applied mathematics; Statistics; Mathematical optimization; Physics; Mathematical analysis; Computer science; Thermodynamics; Demography; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004913046,0.000120311,0.0003882845,0.00007790441,0.00002729834,0.000005483444,0.00004595859,0.0001692139,0.0005122027],"category_scores_gemma":[0.00127146,0.00009577855,0.00007740575,0.0001092844,0.00003092978,0.00004713347,0.00001791618,0.0001622103,0.00004729567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003372289,"about_ca_system_score_gemma":0.000001840212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001078897,"about_ca_topic_score_gemma":6.63394e-7,"domain_scores_codex":[0.9990483,0.00001771365,0.0004052057,0.0001728377,0.00008027594,0.0002756465],"domain_scores_gemma":[0.9992049,0.000521826,0.0000321114,0.0001324226,0.00002214661,0.00008660528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001438899,0.0002969911,0.001134168,0.001669663,0.00002265866,0.000003504804,0.0001666509,0.03237684,0.0001161276,0.9634488,0.00006141661,0.0006888448],"study_design_scores_gemma":[0.0005231423,0.00006355674,0.0003645945,0.0002115749,0.00002209403,0.00001698917,0.000005310446,0.7954536,0.0000171409,0.2031888,0.00004555419,0.0000876493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01907507,0.00005675751,0.974408,0.0008442306,0.00007465213,0.0006012348,0.000001568181,0.0001064564,0.004832023],"genre_scores_gemma":[0.9856269,0.000008485761,0.01376281,0.00008105711,0.00005229294,0.000147995,0.00001088688,0.0000200721,0.0002895196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9665518,"threshold_uncertainty_score":0.5608261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04188804813662942,"score_gpt":0.2627812481894654,"score_spread":0.2208932000528359,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}